Next Article in Journal
Lean Tools Implementation Model in Shipbuilding Processes Under Conditions of Predominantly Custom Production
Next Article in Special Issue
Detecting Particle Contamination in Bearings of Inverter-Fed Induction Motors: A Comparative Evaluation of Monitoring Signals
Previous Article in Journal
Toward Inclusive Smart Cities: Sound-Based Vehicle Diagnostics, Emergency Signal Recognition, and Beyond
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Electromagnetic Vibration in Permanent Magnet Motors Based on Random PWM Technology

1
State Key Laboratory for Traction and Control System of EMU and Locomotive, China Academy of Railway Science Corporation Limited, Beijing 100094, China
2
School of Electrical and Electronic Engineering, Beijing Jiaotong University, Beijing 100044, China
3
Innovation Center for Control Actuators, Beijing 100076, China
4
Beijing Institute of Precision Mechatronics and Controls, Beijing 100076, China
*
Author to whom correspondence should be addressed.
Machines 2025, 13(4), 259; https://doi.org/10.3390/machines13040259
Submission received: 26 February 2025 / Revised: 18 March 2025 / Accepted: 19 March 2025 / Published: 22 March 2025
(This article belongs to the Special Issue Vibration Detection of Induction and PM Motors)

Abstract

:
High vibration noise limits the application of permanent magnet motors in electric locomotive traction. This paper focuses on the high-frequency electromagnetic vibration in traction permanent magnet motors introduced by inverters. It explores the impact of periodic and random switching frequency pulse-width modulation (PWM) schemes on the high-frequency electromagnetic vibration performance of permanent magnet motors. The studied works are as follows: (1) The sources of higher-order harmonic components in the stator current are analyzed, and the characteristics of electromagnetic forces generated by these higher-order harmonic currents are studied. (2) The principles for suppressing high-frequency electromagnetic vibrations through random PWM are introduced. (3) The impact of the random switching frequency on higher-order harmonic currents in permanent magnet motors is analyzed through simulations. (4) The comprehensive experimental validation and evaluation of the random PWM technique are conducted on a permanent magnet motor. The results show that the vibration near the carrier frequency can be effectively weakened, but the overall vibration level has not been effectively reduced.

1. Introduction

Permanent magnet synchronous motors (PMSMs) are widely used in electric vehicles, such as BMW, Tesla, Toyota Prius, and BYD, due to their high power density. However, the vibroacoustics of vehicle motor systems powered by inverters have become a perceptible harm to the human ear in automobiles [1,2]. The harmonic voltages and currents generated by the inverter power supply can induce distortions in the magnetic field within the air gap of the motor. This, in turn, results in increased torque pulsation [3] and contributes to a rise in motor noise levels. In recent years, scholars have carried out a lot of research on the electromagnetic vibration noise of permanent magnet motors.
For the vibration noise of the motor powered by the inverter, some conclusions have been achieved and summarized [4,5,6]: The frequencies of the stator magnetic field when the inverter is supplied satisfy the relation f k = k 1 f s ± k 2 f 0 , where k1 and k2 are positive integers with a different parity, e.g., f s + 2 f 0 , f s 4 f 0 …, f s is the carrier frequency, and f 0 is the motor fundamental frequency. The main increased excitation force when the inverter is supplied is generated by the interaction of the fundamental magnetic field and the kth harmonic current generating the fundamental magnetic field with the order of 0th or 2pth order at the frequency f n = k 3 f s ± k 4 f 0 , where k3 and k4 are positive integers with the same parity, e.g., f s + f 0 , f s 3 f 0 ….
Scholars have made great efforts to solve motor vibration problems caused by converters. In summary, there are several solutions as follows:
(1)
Adding filters
The simplest solution is to add a filter between the motor and the inverter [7], and the larger the value of the reactance, the better the high-frequency filtering effect, but the larger the reactance voltage drop on the reactor, the greater the increases in the capacity requirements of the inverter. For the problems caused by reactors, some scholars have proposed a passive filtering method using inductors, capacitors, and their combination devices [8]. This device is able to eliminate current harmonics of a certain bandwidth, thus reducing high-frequency excitation force and vibration, but this kind of inductor–capacitor requires a larger power rating. J.A. Ferreira et al. [9] proposed a structure with a variable filtering frequency, which can be adjusted between two limiting frequencies by switching the capacitance value. To address the problem of passive filters, many scholars have proposed an active filter structure [10], where the inverter and the motor are connected to each other by passive filter devices, and at the same time, another set of inverters using the high switching frequency MOSFET or SiC devices outputs harmonic components in an inverse phase with the harmonics in the passive filters on the main circuit.
(2)
PWM control strategy
The PWM control strategy can significantly enhance the sinusoidal characteristics of the supply voltage and current, thereby reducing harmonic content [11]. Furthermore, vibration noise suppression research is mainly focused on the PWM control strategy, which is based on the idea of dispersing the voltage, current, vibration, and noise harmonic components near the carrier frequency band into a wider frequency band range.
A randomized carrier frequency is used to extend the originally concentrated sideband harmonic energy to a wider frequency range [12], and the results show that the noise suppression effect at the center frequency reaches 22 dB. In order to make the sampling frequency fixed, a random switching frequency pulse-width modulation method with a variable delay technique is proposed [13], and the experiments show that this method can effectively distribute the current spectrum uniformly in a wider range. A pseudo-random carrier modulation scheme is proposed [14], and its harmonic spreading effect is thoroughly examined. The results demonstrate that this scheme effectively disperses the harmonic spectra of both voltage and current across a broad range of frequency bands. In [15], a pseudo-random high-frequency square wave signal random switching frequency pulse-width modulation method is proposed, and the results show that the noise at the center frequency has been reduced by at least 10 dB. A specific harmonic elimination random switching frequency pulse-width modulation prevention is proposed in [16], and the simulation and experimental results validate the effectiveness of the proposed scheme. In order to reduce the high-frequency electromagnetic vibration noise of a dual three-phase permanent magnet motor, Prof. Y. Miyama et al. [17] proposed a carrier-phase shifted modulation method to eliminate the switching frequency harmonics in the inverter, which removes the dominant harmonic currents by optimizing the trigger angle of the power tubes.
A. Ruiz et al. [18] proposed a trapezoidal waveform as the modulating waveform PWM control scheme, in which the current harmonic quantity is greatly reduced. Jean L.B. et al. [19] explored the influence of the carrier frequency from a theoretical point of view and came to the conclusion that the optimal carrier frequency should be selected to avoid the 0th order and the 2nd order of the motor’s intrinsic frequency.
The harmonic power propagation capabilities of Sinusoidal PWM (SPWM), Random Carrier PWM, and Random Pulse Position PWM are compared through simulation [20], and the simulation results are validated using a prototype of the inverter that was designed for this purpose. Notably, the RPPWM effectively disperses the acoustic switching noise spectrum of the induction motor drive. The periodic switching frequency modulation technique of the sawtooth wave is investigated in [21], and the results showed that the amplitude of the line voltage in the center frequency band was reduced by at least 30%. Subsequently, the scholar combined the sawtooth wave periodic switching frequency modulation technique with the asynchronous carrier modulation technique [22], which further reduced the amplitude of the high-frequency voltage. In [22], it was shown that the spread-spectrum modulation can effectively suppress the motor current harmonics and optimize the noise in the center band of the switching frequency band by more than 10 dBA.
In summary, the effects of random and periodic switching frequency PWM modulation strategies proposed by scholars are judged by the switching frequency and the nearby vibration noise amplitude. Admittedly, the amplitude can be used as a kind of evaluation index, but the vibration noise is also a matter of people’s overall perception of the external objects; therefore, it should be necessary to add other means of judgement in the performance evaluation.
This paper comprehensively evaluates the high-frequency electromagnetic vibration characteristics of motors under the commonly used periodic switching frequency PWM modulation (PPWM) and random switching frequency PWM modulation (RPWM) strategies in terms of vibration performance. Firstly, the electromagnetic field and electromagnetic force of the motor under an inverter power supply are calculated and analyzed, and then the vibration suppression principles of PPWM and RPWM are briefly introduced. Next, the simulation verification of random PWM technology is carried out in the motor, and the influence of the scheme on the high-frequency harmonic current component in the motor is explored. Finally, the vibration of a permanent magnet synchronous motor is actually measured to analyze the suppression effect of the two schemes and explore the influencing factors of the two suppression schemes in detail.

2. Analysis of Electromagnetic Force

The source of electromagnetic vibration in the motor is the Maxwell stress tensor force, which has both radial and tangential components that primarily act on the inner surface of the stator. Among these, the radial component is the predominant contributor to electromagnetic vibration, and the radial pressure FFn can be expressed as follows:
F F n = B n 2 / ( 2 μ o )
where Bn is the normal component of the air gap magnetic field, and μ 0 is the air permeability. Disregarding the effect of the magnetic reluctance of the magnetic circuit of the iron core, the air gap magnetic field of the permanent magnet synchronous motor can be expressed as follows:
B n θ , t = f a θ , t λ θ , t
where θ is the spatial mechanical angle, f a θ , t is the air gap magnetomotive force, and λ θ , t is the air gap specific permeance. For stator slotting, the air gap specific permeance can be approximated as follows:
λ θ = λ 0 + l λ l
where λ 0 is the average component of the specific permeance and λ l is the specific permeance with harmonic order l.
When the inverter is supplied, the magnetomotive force can be divided into the following items: (1) the fundamental magnetomotive force generated by the stator fundamental current and rotor permanent magnet; (2) the harmonic magnetomotive force generated by the stator fundamental current; (3) the harmonic magnetomotive force generated by rotor permanent magnet; and (4) the fundamental magnetomotive force generated by the stator harmonic current.
When the inverter is supplied, the frequency of the motor current harmonics can be expressed as follows:
f k = k 1 f s ± k 2 f o
where f s is the carrier frequency of inverter, f o is the base wave frequency of motor, k1 and k 2 are parity integers, and in three-phase motors, k 2 cannot be taken as a multiple of three, such as f s ± 2 f o , f s ± 4 f o , 2 f s ± f o , 2 f s ± 5 f o , and so on.
Near the carrier frequency and its octave, the current harmonics introduced by the inverter cause high-frequency vibration of order 0 or order 2p, and the frequency of the electromagnetic excitation force fn is expressed as follows:
f n = ( k ± 1 ) f o = k 3 f s ± k 4 f o
where k 3 , k 4 is a positive integer with the same parity, e.g., f s ± f o , f s ± 3 f o , 2 f s ± 2 f o , 2 f s ± 4 f o , etc.

3. Basic Principles of Random PWM Technology

The high harmonic currents generate high-frequency electromagnetic vibration and noise. The variable carrier period scheme is used to solve the problem of the current switching frequency concentration without increasing the hardware cost. This section introduces common variable switching frequency PWM techniques, including periodic switching frequency pulse-width modulation (PPWM) and random switching frequency pulse-width modulation (RPWM).
The PPWM involves the addition of a period-varying component to the original fixed switching frequency, and the switching frequency is expressed in the following form:
f s = f s 0 + R t Δ f
where f s 0 is the center frequency, R t is a periodic function, and Δ f is a fixed constant, representing the bandwidth of the switching frequency.
During a cycle, the switching frequency varies within f s 0 Δ f , f s 0 + Δ f . The selection of f s 0 = 10,000   Hz , Δ f = 500   Hz , R t is an approximate triangular wave function. In the programming implementation, each time comes into the ePWM interrupt, so that fs increased or decreased by 1 Hz, and the R t period is approximated as T = 4 Δ f / f s 0 Δ f 0 , where Δ f 0 represents the size of each interrupt frequency change.
The RPWM is one of the most commonly used random PWM methods, which is similar to the periodic switching frequency, and it is expressed as the random switching frequency:
f s = f s 0 + r a n d ( 1 , 1 ) Δ f
where f s 0 is the center frequency, Δ f is the range of variation in the switching frequency, and the function rand(−1, 1) is a random number generator that produces a value uniformly distributed within the interval (−1, 1), and fs is a randomly varying value in the range of f s 0 Δ f , f s 0 + Δ f .
The RPWM with natural sampling is achieved by randomly setting the slope of the triangular wave signal, and in SVPWM, randomly changing the voltage vector angle can realize the RPWM.

4. Implementation of Random PWM Technology

4.1. Simulation Implementation

In order to verify the suppression effect of the random PWM technique on the high harmonic components in the motor current, a motor simulation model is built. In the simulation, the switching frequency in the control system is set at 10 kHz, 8 kHz, 6 kHz, and 4 kHz, respectively, and the currents are compared and analyzed with and without the addition of the random PWM technique; when the random PWM technique is added, the FFT analysis of the currents is carried out according to Equation (5), where Δ f is set to 0.5 k, 1 k, and 1.5 k, respectively, for the simulation to determine the effect of this parameter on the suppression effect. The generation module of random frequency carrier built in Simulink is shown in Figure 1:
In Figure 1, a generator is used to randomly generate random numbers in the interval from −1 to 1. The switching frequency in the random PWM is obtained by multiplying it with the given Δ f plus the value of the original fixed switching frequency. In the triangular waveform generation part, the rising edge part and the falling edge part of the triangular waveform can be obtained by giving two constants of 1 and −1 and integrating them. By judging to switch its state when it reaches the peak value, and by changing the frequency of the triangular waveform every time it passes through the triangular waveform, a triangular carrier waveform whose frequency varies randomly within the given switching frequency can be obtained.
The control system of the permanent magnet synchronous motor is carried out by using the random PWM module to output a triangular wave with a random frequency instead of the original carrier wave. The parameters of the simulated PM motor are as follows: p = 4, rated speed is 1500 r/min, stator resistance 1.1 Ω, Ld = Lq = 2.22 mH, and the flux is 0.22 Wb.
Figure 2, Figure 3, Figure 4 and Figure 5 show the results of the FFT analysis of the motor current for varying carrier frequency bandwidths when the switching frequency is 10 kHz. It should be emphasized that the fundamental current value is located at the top of Figure 2, Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, Figure 8 and Figure 9, and the unit is A. The amplitude of the fundamental current is considered as 100%. The y-axis represents the percentage of harmonic current relative to the fundamental current. THD means the total harmonic distortion of the current.
It can be found from Figure 2, Figure 3, Figure 4 and Figure 5 that the addition of the random frequency carrier reduces the amplitude of the current harmonics at the switching frequency to some extent, as compared to the case without random PWM, and the best effect is achieved at Δ f = 0.5 kHz, where the harmonic amplitude as a percentage of the fundamental amplitude at the switching frequency is reduced from 0.55% to 0.44%. Meanwhile, the THD of the current increases as the range of the random frequency variation increases, but the THD of the current is approximated when Δ f = 1 kHz and Δ f = 1.5 kHz.
Figure 6, Figure 7, Figure 8 and Figure 9 show the results of the FFT analysis of the currents for a random quantity that changes the carrier frequency when the switching frequency is 8 kHz.
It can be seen from Figure 6, Figure 7, Figure 8 and Figure 9 that the harmonic amplitudes at the switching frequency are suppressed with the addition of the random carrier, and the suppression is relatively the best at Δ f = 1 kHz, where the harmonic amplitude as a percentage of the fundamental amplitude is reduced from 0.7% to about 0.47%. Meanwhile, the THD of current harmonics changes very little from 1.57% to 1.59% at Δ f from 0 to 1 kHz, and then THD becomes larger, reaching 1.70% at Δ f = 1.5 kHz.
Harmonic voltages and currents generated by the inverter supply can induce distortions in the magnetic field within the air gap of the motor. This distortion can result in increased torque pulsations, subsequently leading to heightened motor vibration. Consequently, it is essential to analyze the torque variations across different random frequency ranges. Figure 10 illustrates the torque variation over time for different Δ f values.
From Figure 10, it is evident that the torque pulsation gradually increases with the widening of the frequency Δ f . To further analyze the impact of variations on the torque ripple, an FFT analysis is performed on the torque. The segments corresponding to the switching frequencies within the 6 kHz to 10 kHz range are extracted from the FFT results, as illustrated in Figure 11.
From Figure 11, it is evident that the harmonic amplitudes near the switching frequency are reduced with the introduction of the Δf. Notably, the most effective suppression occurs at a frequency difference of Δf = 1.5 kHz.
The simulation results are summarized to obtain the variation in current harmonic amplitude and THD at different switching frequencies, as shown in Table 1.
It can be seen from Table 1 that by using the random PWM technique, the magnitude of the higher harmonics can be suppressed, but the THD value of the current will be elevated. Table 2 demonstrates the simulation results of the magnitude of the fundamental current for different switching frequencies and bandwidths, and it shows that by using the technique of random PWM, there is almost no effect on the fundamental amplitude of the current.

4.2. Test Validation

In order to investigate the effects of random PWM techniques on the current and vibration of the motor, detailed experiments are carried out on an eight-pole surface-mounted permanent magnet motor, and the experimental platform is shown in Figure 12. The experimental setup includes a permanent magnet motor, loader, controller, vibration sensor, and Jiangshu Union energy vibration test system.
The experimental setup is as follows: in order to avoid the effect of the random PWM technology scheme on speed fluctuation, an encoder is used to measure the motor position and speed control. In the fixed switching frequency control scheme for motor speed control, id = 0 is used, the speed runs at 1500 rpm, the load is 6 N·m, and the carrier frequency is 8 kHz. In the PPWM, the effect of four lengths of frequency change steps of 1 Hz, 5 Hz, 10 Hz, and 20 Hz on vibration is investigated, and the effect of the frequency band ranges on the vibration damping of PPWM and RPWM is also explored. During the experiments, the phase current and the vibration on the surface of the motor casing are measured, and the intercepted data processing segments are stable and non-fluctuating time-domain current and vibration signals, and the results are summarized as follows.
The vibration sensor is located at the upper part of the motor end cover. The vibration sensor, produced by SINOCERA PIEZOTRONICS, INC. in Yangzhou, China, is a piezoelectric acceleration sensor with model CA-YD-1182, the reference sensitivity is 10.15 mV/m·s2, and the frequency range is from 1 to 30,000 Hz.

4.2.1. Current Waveforms

Figure 13, Figure 14 and Figure 15 show the current waveforms under the conventional control scheme, PPWM, and RPWM, respectively. From Figure 13, it can be seen that in addition to the high-frequency harmonics brought by the inverter, the experimental motor itself also carries some low harmonics, and although the low current harmonics will cause low-frequency noise, the narrow bandwidth of high-frequency current harmonics near the carrier frequency and its integer multiples, caused by the vibration of the motor, will produce a narrow-band noise that is very sensitive to the human ear.
As can be seen in Figure 14, compared with the conventional scheme, the PPWM technique can significantly attenuate the amplitude of the narrow-bandwidth high-frequency harmonic currents near the carrier frequency fc and its integer multiples of the frequency mfc (m ≥ 2) at all operating conditions. For the narrow-bandwidth high-frequency harmonic components, the current amplitude of these components is attenuated by more than 50% around the carrier frequency fc, by more than 60% around the carrier frequency 2fc and 3fc, and by more than 70% around the carrier frequency 4fc, for all operating conditions.
It can be seen from Figure 15 that the RPWM technique can greatly weaken the amplitude of the high-frequency current harmonic components with a narrow bandwidth near the carrier frequency fc and its integer multiples mfc (m ≥ 2) under each working condition. For the narrow-bandwidth high-frequency harmonic components, the current amplitudes of these components are essentially attenuated by more than 50% around the carrier frequency fc, and by more than 55% around the carrier frequency 2fc, 3fc, and 4fc for all operating conditions.

4.2.2. Electromagnetic Vibration Waveforms

Figure 16 shows the vibration histograms for the conventional control scheme, PPWM, and RPWM.
It can be clearly seen from Figure 16a that the higher amplitude harmonic components of the radial vibration acceleration are still mainly concentrated near the carrier frequency fc and its integer multiple frequency mfc (m ≥ 2), which is very similar to the FFT results of the current. The high-frequency harmonics of the current give rise to the high-frequency harmonic components of the radial vibration acceleration, which will cause intolerable high-frequency noise. For the high-frequency harmonic components with a narrow bandwidth, the amplitude of the radial vibration acceleration of these components is attenuated by more than 75% around the carrier frequency fc, by more than 65% around the carrier frequency 2fc, and by more than 85% around the carrier frequency 3fc for all the operating conditions using the PPWM technique.
Furthermore, it can be seen from Figure 16b that, because the RPWM technique greatly reduces the harmonic amplitude of high-frequency currents with a narrow bandwidth, the radial vibration acceleration amplitude will be reduced accordingly. For the high-frequency harmonic components with a narrow bandwidth, the amplitude of the vibration acceleration of these components is basically reduced by about 50% near the carrier frequency fc under various operating conditions, and more than 70% near the carrier frequency 2fc and the frequency 3fc.

4.2.3. Comparison of Reduction Method

As mentioned earlier, both the PPWM and RPWM can reduce the switching frequency vibration of the motor. Here, it will compare the effects of two suppression schemes. Figure 17 shows the total vibration acceleration level under different PWM control strategies in the carrier frequency range (7.8 kHz~8.2 kHz). As it can be seen from Figure 17, the total vibration level of the motor under three PWM strategies shows a tendency to increase and then slowly decrease as the rotational speed increases, and the total vibration level of the PPWM technique is higher, whereas that of the RPWM and the conventional PWM is almost the same.
When the carrier frequency range is expanded from 7.8 kHz~8.2 kHz to 7.5 kHz~8.5 kHz, the total vibration level can be shown in Figure 18. The total vibration levels of the motors under the three PWM strategies exhibit a trend of initially increasing and then gradually decreasing with rising rotational speed. Notably, the total vibration level is highest for the PPWM technique. In contrast to the carrier frequency range of 7.8 kHz to 8.2 kHz, the total vibration level of RPWM is slightly greater than that of SVPWM at speeds between 300 and 900 rpm. However, at speeds exceeding 900 rpm, the total vibration levels of both RPWM and SVPWM are nearly identical. This similarity at higher speeds suggests that the characteristics of total vibration levels in the two frequency ranges are compatible.
Figure 19 and Figure 20 show the total vibration level at the carrier frequency range, 7.2 kHz~8.8 kHz and 6.6 kHz~9.4 kHz, respectively. The total vibration level of RPWM technology has already surpassed conventional PWM at all speeds, and the total vibration level of PPWM technology is the largest. Furthermore, under the random PWM strategy, the total vibration level increases gradually with the carrier frequency range, and the total vibration level curve of the conventional SVPWM lies between the total vibration level curves of different carrier frequency ranges. This seems to contradict the analysis in Section 4.2.2. In fact, the essence of using random PWM technology is to disperse the concentrated frequencies near the carrier wave, and although the amplitude of the prominent frequency has decreased, the amplitude of the dispersed frequency has also increased. Therefore, for random PWM technology, although the vibration near the carrier frequency can be effectively weakened, the overall vibration level has not been effectively reduced.

5. Conclusions

In this paper, the random PWM technique was introduced to reduce the high harmonic currents and vibrations, and the simulation and experimental results verify the effectiveness of the suppression scheme. The following conclusions can be obtained:
(1)
The high-frequency current harmonics generated by the rich high-frequency voltage harmonics embedded in the square wave output from the inverter are basically concentrated near the carrier frequency fc and its integer multiple frequency mfc (m ≥ 2), and these high-amplitude, narrow-bandwidth high-frequency current harmonics generate noise that is particularly sensitive to the human ear. Therefore, it is crucial to mitigate the high-frequency harmonic components of the current and the associated motor vibrations near the carrier frequency by employing a PWM modulation strategy.
(2)
Simulation results show that for switching frequencies of 4 k, 6 k, 8 k, and 10 kHz, the amplitude suppression of high current harmonics by the random PWM technique reaches more than 20%. However, it increases the total harmonic distortion of the current by a maximum of 12%.
(3)
The experimental results demonstrate that the control strategy employing both the PPWM and RPWM techniques significantly reduces the amplitude of high-frequency harmonic components in the current supplied by the inverter, as well as the motor vibrations induced by these harmonics. This attenuation occurs around the carrier frequency fc and its integer multiples mfc (where m ≥ 2), which in turn can greatly weaken the sharp high-frequency noise, reducing the amplitude by more than 60%. However, the random PWM techniques cannot reduce the total vibration levels compared with conventional PWM.

Author Contributions

Conceptualization, Y.W. (Yi Wang); Methodology, J.H.; Software, H.C.; Validation, C.M.; Formal analysis, J.H.; Data curation, H.C. and Y.W. (Yi Wang); Writing—original draft, Y.W. (Yongxiang Wang). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by State Key Laboratory for Traction and Control System of EMU and Locomotive, grant number 2023YJ368, and supported by the Open Fund of Innovation Center for Control Actuators, grant number 241122F1211-4-1.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

Authors Chi Ma, Yongxiang Wang and Huang Chen were employed by the company China Academy of Railway Science Corporation Limited. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Bracikowski, N.; Fakam, M.; Hecquet, M.; Brochet, P.; Lanfranchi, V. Characterisation of radial vibration force and electromagnetic noise behaviour of a PWM-fed permanent magnet synchronous machine. In Proceedings of the XXth International Conference on Electrical Machines, Marseille, France, 2–5 September 2012. [Google Scholar]
  2. Vijayraghavan, P.; Krishnan, R. Noise in electric machines: A review. IEEE Trans. Ind. Appl. 1999, 35, 1007–1013. [Google Scholar] [CrossRef]
  3. Bonthu, S.S.R.; Tarek, M.T.B.; Choi, S. Optimal Torque Ripple Reduction Technique for Outer Rotor Permanent Magnet Synchronous Reluctance Motors. IEEE Trans. Energy Convers. 2017, 33, 1184–1192. [Google Scholar]
  4. Lo, W.C.; Chan, C.C.; Zhu, Z.; Xu, L.; Howe, D.; Chau, K.T. Acoustic noise radiated by PWM-controllel induction machine drives. IEEE Trans. Ind. Electron. 2000, 47, 880. [Google Scholar] [CrossRef]
  5. Lin, F.; Zuo, S.; Deng, W.; Wu, S. Modeling and analysis of electromagnetic force, vibration, and noise in permanent-magnet synchronous motor considering current harmonics. IEEE Trans. Ind. Electron. 2016, 63, 7455–7466. [Google Scholar] [CrossRef]
  6. Gamoudi, R.; Elhak Chariag, D.; Sbita, L. A Review of Spread- Spectrum-Based PWM Techniques A Novel Fast Digital Implementation. IEEE Trans. Power. Electron. 2018, 33, 10292–10307. [Google Scholar] [CrossRef]
  7. Nishimura, T.N. Reduction of vibration and acoustic noise in induction motor driven by three phase PWM AC chopper using static induction transistors. IEEE Trans. Power Electron. 2002, 4, 313. [Google Scholar] [CrossRef]
  8. Maria, C. Filtering technique to minimize the effect of long motor leads on PWM inverter drives. IEEE Trans. Electromagn. Compat. 2014, 56, 1067. [Google Scholar]
  9. Ferreira, J.A.; Dorlang, P.; Debeer, F.G. An active inline notch filter for reducing acoustic noise in drives. IEEE Trans. Ind. Appl. 2007, 43, 798. [Google Scholar] [CrossRef]
  10. Li, D.Y.; Chen, Q.F.; Jia, Z.C.; Ke, J. A novel active power filter with fundamental magnetic flux compensation. IEEE Trans. Power Deliv. 2004, 19, 799. [Google Scholar] [CrossRef]
  11. Quang, N.P.; Dittrich, J.A. Inverter Control with Space Vector Modulation; Springer: Berlin/Heidelberg, Germany, 2015. [Google Scholar] [CrossRef]
  12. Jui, Y.C. On Acoustic-Noise-Reduction Control Using Random Switching Technique for Switch-Mode Rectifiers in PMSM Drive. IEEE Trans. Ind. Electron. 2008, 55, 1295. [Google Scholar]
  13. Kirlin, R.L.; Lascu, C.; Trzynadlowski, A.M. Shaping the Noise Spectrum in Power Electronic Converters. IEEE Trans. Ind. Electron. 2011, 58, 2780–2788. [Google Scholar]
  14. Lim, Y.C.; Wi, S.O.; Kim, J.N.; Jung, Y.G. A Pseudorandom Carrier Modulation Scheme. IEEE Trans. Power Electron. 2010, 25, 797–805. [Google Scholar]
  15. Wang, G.; Yang, L.; Yuan, B.; Wang, B.; Zhang, G.; Xu, D. Pseudo-random high-frequency square-wave voltage injection based sensorless control of IPMSM drives for audible noise reduction. IEEE Trans. Ind. Electron. 2016, 63, 7423. [Google Scholar] [CrossRef]
  16. Peyghambari, A.; Dastfan, A.; Ahmadyfard, A. Selective voltage noise cancellation in three-Phase inverter using random SVPWM. IEEE Trans. Power Electron. 2016, 31, 4604. [Google Scholar] [CrossRef]
  17. Miyama, Y.; Ishizuka, M.; Kometani, H.; Akatsu, K. Vibration reduction by applying carrier phase-shift PWM on dual three-phase winding permanent magnet synchronous motor. IEEE Trans. Ind. Appl. 2018, 54, 5998. [Google Scholar] [CrossRef]
  18. Ruiz, G.A.; Vargas, M.F.; Heredia, L.J.; Meco-Gutierrez, M.J.; Perez-Hidalgo, F. Application of slope PWM strategies to reduce acoustic noise radiated by inverter-fed induction motors. IEEE Trans. Ind. Electron. 2013, 60, 2555. [Google Scholar]
  19. Le, B.J.; Lanfranchi, V.; Hecquet, M.; Brochet, P. Characterization and reduction of audible magnetic noise due to PWM supply in induction machines. IEEE Trans. Ind. Electron. 2010, 57, 1288. [Google Scholar]
  20. Jarin, T.; Subburaj, P.; Bright, S.J.V. Performance Evaluation and Experimental Validation of Random Pulse Position Pwm for Industrial Drives. SSRN Electron. J. 2015, 7, 137–146. [Google Scholar] [CrossRef]
  21. Huang, J.; Xiong, R. Study on modulating carrier frequency twice in SPWM single-phase inverter. IEEE Trans. Power Electron. 2014, 29, 3384. [Google Scholar]
  22. Huang, J.; Li, K. Suppressing the maximum EMI spectral peak through asynchronous carriers in the three-phase inverter with the periodic CFM. IEEE Trans. Power Electron. 2022, 37, 3702–3707. [Google Scholar]
Figure 1. Simulation module for random PWM.
Figure 1. Simulation module for random PWM.
Machines 13 00259 g001
Figure 2. Switching frequency of 10 kHz, Δ f = 0.
Figure 2. Switching frequency of 10 kHz, Δ f = 0.
Machines 13 00259 g002
Figure 3. Switching frequency of 10 kHz, Δ f = 0.5 kHz.
Figure 3. Switching frequency of 10 kHz, Δ f = 0.5 kHz.
Machines 13 00259 g003
Figure 4. Switching frequency of 10 kHz, Δ f = 1 kHz.
Figure 4. Switching frequency of 10 kHz, Δ f = 1 kHz.
Machines 13 00259 g004
Figure 5. Switching frequency of 10 kHz, Δ f = 1.5 kHz.
Figure 5. Switching frequency of 10 kHz, Δ f = 1.5 kHz.
Machines 13 00259 g005
Figure 6. Switching frequency of 8 kHz, Δ f = 0.
Figure 6. Switching frequency of 8 kHz, Δ f = 0.
Machines 13 00259 g006
Figure 7. Switching frequency of 8 kHz, Δ f = 0.5 kHz.
Figure 7. Switching frequency of 8 kHz, Δ f = 0.5 kHz.
Machines 13 00259 g007
Figure 8. Switching frequency of 8 kHz, Δ f = 1 kHz.
Figure 8. Switching frequency of 8 kHz, Δ f = 1 kHz.
Machines 13 00259 g008
Figure 9. Switching frequency of 8 kHz, Δ f = 1.5 kHz.
Figure 9. Switching frequency of 8 kHz, Δ f = 1.5 kHz.
Machines 13 00259 g009
Figure 10. Torque time-domain diagram.
Figure 10. Torque time-domain diagram.
Machines 13 00259 g010
Figure 11. Switching frequency of 8 kHz, Δ f = 0 kHz.
Figure 11. Switching frequency of 8 kHz, Δ f = 0 kHz.
Machines 13 00259 g011
Figure 12. Experimental platform.
Figure 12. Experimental platform.
Machines 13 00259 g012
Figure 13. Current waveform under conventional control strategy. (a) Time domain. (b) Fourier decomposition.
Figure 13. Current waveform under conventional control strategy. (a) Time domain. (b) Fourier decomposition.
Machines 13 00259 g013
Figure 14. Current waveforms under the period-variable switching frequency strategy. (a) Time domain. (b) Fourier decomposition.
Figure 14. Current waveforms under the period-variable switching frequency strategy. (a) Time domain. (b) Fourier decomposition.
Machines 13 00259 g014
Figure 15. Current waveforms under random switching frequency strategy. (a) Time domain. (b) Fourier decomposition.
Figure 15. Current waveforms under random switching frequency strategy. (a) Time domain. (b) Fourier decomposition.
Machines 13 00259 g015
Figure 16. Waveforms in vibration. (a) With PPWM. (b) With RPWM.
Figure 16. Waveforms in vibration. (a) With PPWM. (b) With RPWM.
Machines 13 00259 g016
Figure 17. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.8 kHz~8.2 kHz).
Figure 17. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.8 kHz~8.2 kHz).
Machines 13 00259 g017
Figure 18. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.5 kHz~8.5 kHz).
Figure 18. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.5 kHz~8.5 kHz).
Machines 13 00259 g018
Figure 19. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.2 kHz~8.8 kHz).
Figure 19. Total vibration acceleration level under different PWM control strategies in carrier frequency range (7.2 kHz~8.8 kHz).
Machines 13 00259 g019
Figure 20. Carrier frequency range (6.6 kHz~9.4 kHz) and total vibration acceleration level with different PWM control strategies.
Figure 20. Carrier frequency range (6.6 kHz~9.4 kHz) and total vibration acceleration level with different PWM control strategies.
Machines 13 00259 g020
Table 1. Degree of variation of current harmonic amplitude and THD at different switching frequencies.
Table 1. Degree of variation of current harmonic amplitude and THD at different switching frequencies.
Switching FrequencyAmplitude ReductionReduction Ratio in AmplitudeElevated THD
10 kHz0.011 A21.4%0.15
8 kHz0.02 A32.9%0.13
6 kHz0.03 A37%0.56
4 kHz (at 4 kHz)0.035 A28.6%0.7
4 kHz (at 8 kHz)0.067 A63.3%0.7
Table 2. Current fundamental amplitude at different switching frequencies.
Table 2. Current fundamental amplitude at different switching frequencies.
Switching FrequencyBase Wave Current Amplitude Δ f = 0Base Wave Current Amplitude Δ f = 0.5 kHzBase Wave Current Amplitude Δ f = 1 kHz
10 kHz8.814 A8.835 A8.824 A
8 kHz8.815 A8.826 A8.806 A
6 kHz8.816 A8.817 A8.831 A
4 kHz8.817 A8.841 A8.847 A
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ma, C.; Wang, Y.; Chen, H.; Hong, J.; Wang, Y. Analysis of Electromagnetic Vibration in Permanent Magnet Motors Based on Random PWM Technology. Machines 2025, 13, 259. https://doi.org/10.3390/machines13040259

AMA Style

Ma C, Wang Y, Chen H, Hong J, Wang Y. Analysis of Electromagnetic Vibration in Permanent Magnet Motors Based on Random PWM Technology. Machines. 2025; 13(4):259. https://doi.org/10.3390/machines13040259

Chicago/Turabian Style

Ma, Chi, Yongxiang Wang, Huang Chen, Jianfeng Hong, and Yi Wang. 2025. "Analysis of Electromagnetic Vibration in Permanent Magnet Motors Based on Random PWM Technology" Machines 13, no. 4: 259. https://doi.org/10.3390/machines13040259

APA Style

Ma, C., Wang, Y., Chen, H., Hong, J., & Wang, Y. (2025). Analysis of Electromagnetic Vibration in Permanent Magnet Motors Based on Random PWM Technology. Machines, 13(4), 259. https://doi.org/10.3390/machines13040259

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop